Generative AI Engineer

1 week ago

Pune, Maharashtra, India Talent Corner HR Services Pvt Ltd Full time ₹ 10,00,000 - ₹ 25,00,000 per year

Experience Required: 4-6 Years

Job Summary:

● Proven experience in content management, data architecture, and AI

● technologies

● Design content structures that optimize the usability and retrieval of data by

● LLMs and RAG systems.

● Strong understanding of LLMs and RAG systems and their application in

● business contexts.

● Problem-solving skills with a proactive approach to identifying and addressing

● challenges.

● Design and maintain a robust data architecture that supports efficient content

● retrieval and generation.

● Ensure content is optimized for AI consumption, including proper formatting,

● tagging, and metadata application.


• Experience in JIRA, Confluence, Bit Bucket, Azure Repo etc.

● Strong Computer Science fundamentals in object-oriented design, data

● structures, design patterns and algorithm design.

● Strong debug and troubleshooting skills.

● Aware of CI/ CD techniques and tools like Azure Pipeline.

What do we expect from you?

● Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

● Proven experience in building Azure Cloud solutions.

● Experience with content management systems (CMS) and data management tools.

● Familiarity with AI/ML frameworks and libraries.

● Knowledge of global content standards and regional data regulations.

● Familiarity with CI/CD pipelines and version control systems such as Git.

● Strong debug and troubleshooting skills.

● Effective oral and written communication skills; ability to articulate clearly and concisely.

● You have worked with Agile Methodologies following SCRUM.

Qualifications:


• 4 to 6 years of strong hands-on experience in Python programming


• Minimum 2 years of experience working with AI tools and technologies


• At least 1 year of experience as a Generative AI Content Architect


• Successfully delivered 2–3 AI implementation projects or use cases


• Solid understanding of AI solution implementation, including data architect and content management.

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